Learning to Cheat: Quantifying Changes in Score Advantage of Unproctored Assessments Over Time

Binglin Chen, Sushmita Azad, Max Fowler, Matthew West, C. Zilles
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引用次数: 10

Abstract

Proctoring educational assessments (e.g., quizzes and exams) has a cost, be it in faculty (and/or course staff) time or in money to pay for proctoring services. Previous estimates of the utility of proctoring (generally by estimating the score advantage of taking an exam without proctoring) vary widely and have mostly been implemented using an across subjects experimental designs and sometimes with low statistical power. We investigated the score advantage of unproctored exams versus proctored exams using a within-subjects design for N = 510 students in an on-campus introductory programming course with 5 proctored exams and 4 unproctored exams. We found that students scored 3.32 percentage points higher on questions on unproctored exams than on proctored exams (p < 0.001). More interestingly, however, we discovered that this score advantage on unproctored exams grew steadily as the semester progressed, from around 0 percentage points at the start of semester to around 7 percentage points by the end. As the most obvious explanation for this advantage is cheating, we refer to this behavior as the student population "learning to cheat". The data suggests that both more individuals are cheating and the average benefit of cheating is increasing over the course of the semester. Furthermore, we observed that studying for unproctored exams decreased over the course of the semester while studying for proctored exams stayed constant. Lastly, we estimated the score advantage by question type and found that our long-form programming questions had the highest score advantage on unproctored exams, but there are multiple possible explanations for this finding.
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学习作弊:量化无监督评估随时间的分数优势变化
监考教育评估(例如,测验和考试)是有成本的,无论是教师(和/或课程人员)的时间,还是支付监考服务的金钱。以前对监考效用的估计(通常是通过估计没有监考的考试的分数优势)差异很大,而且大多数是通过跨科目实验设计实现的,有时统计能力很低。我们调查了无监考考试与有监考考试的分数优势,使用了一项针对N = 510名参加校园编程入门课程的学生的主题内设计,其中有5次监考考试和4次无监考考试。我们发现,在没有监考的考试中,学生的得分比监考的考试高3.32个百分点(p < 0.001)。然而,更有趣的是,我们发现,随着学期的进展,这种分数优势在无监考考试中稳步增长,从学期开始时的0个百分点左右增长到期末的7个百分点左右。对于这种优势最明显的解释就是作弊,我们把这种行为称为学生群体“学会作弊”。数据表明,作弊的人越来越多,而且作弊的平均收益在整个学期都在增加。此外,我们观察到,在整个学期中,为无监考考试而学习的人数减少了,而为监考考试而学习的人数保持不变。最后,我们根据问题类型估计了分数优势,发现我们的长格式编程问题在无监考的考试中具有最高的分数优势,但这一发现有多种可能的解释。
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